Engineering Notes

Engineering Notes

Thoughts and Ideas on AI by Muthukrishnan
06 Aug 2025

The Complete Claude Code Best Practices Guide

*A Comprehensive Manual Compiled from Developer Experiences and Community Knowledge* ## Table of Contents 1. [Introduc...
16 Jul 2025

Why MMLU Matters and What Massive Multitask Language Understanding Really Tests

A personal dive into MMLU - the benchmark that's reshaping how we measure AI intelligence across dozens of academic subjects.
13 Jul 2025

Understanding Mixture of Experts from First Principles

One of the most exciting architectural innovations in recent years is the **Mixture of Experts (MoE)**. It's a key reas...
11 Jul 2025

My Thoughts on Andrew Ngs Building Faster and Smarter with AI

{{< youtube RNJCfif1dPY >}} I watched Andrew Ng's latest talk on AI startup strategy, and while I disagree with some o...
09 Jul 2025

AI Agent Communication Protocols MCP, ACP, A2A, and ANP

An overview of the most important communication protocols for multi-agent systems, and how they enable interoperability and scalability.
08 Jul 2025

Small Language Models are the Future of Agentic AI

I recently came across a paper titled *"Small Language Models are the Future of Agentic AI,"* and it got me thinking. T...
07 Jul 2025

Meet AlphaEvolve the AI That Discovers New Algorithms

An introduction to AlphaEvolve, DeepMind's new AI agent that uses evolutionary search and LLM-driven code synthesis to autonomously discover and optimize algorithms, outperforming human-designed solutions in several domains.
06 Jul 2025

Learning CrewAI in a Step-by-Step Guide with 10 Concepts

A beginner-friendly guide to mastering CrewAI, from basic agents and tasks to advanced multi-agent workflows with tools and custom LLMs.
02 Jul 2025

An Introduction to Context Engineering for AI Code Generation

How to prevent AI coding assistants from generating outdated or deprecated code by using real-time context engineering.
01 Jul 2025

A Developers Guide to Effective AI Coding Agents

Moving beyond basic code completion to a structured, developer-led workflow that harnesses the full potential of AI coding agents.